This dataverse contains data pertaining to Population Health Research. Studies conducted use novel epidemiological and geostatistical tools: to understand the complex disease patterns in space and time; evaluate the impacts of current scaled malaria interventions; and test improved applications of interventions within different service provider platforms and different malaria ecologies. In order to ensure effective malaria control such evidence must be available at sub-national level to support national planning. The affiliate research group is based in Nairobi Kenya under the KEMRI-Wellcome Trust Research Programme. The team conducts expansive multidisciplinary and collaborative research with studies in over 20 countries in Africa and the Middle East, particularly with national malaria control programmes.

For more information on our research work, visit our page via Population Health Research@ KEMRI-Wellcome Trust Research Programme

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Plain Text - 6.1 KB - MD5: f00d893207d241baa1735304c6c7e5e2
DocumentationReadme
This text file provides information about the project, dataset and terms of use
Tabular Data - 651.8 KB - 11 Variables, 8051 Observations - UNF:6:Mz+RT+qRLIbAvoFqH/j8aA==
csvData
This XlSX file provides information about the research study, data file and variable descriptions.
Plain Text - 4.1 KB - MD5: dc94db1f7824f69844bf7f2f24b64a86
Documentation
MS Word - 13.7 KB - MD5: 658f7f948dbab1a9bb15ec7a4817cd9e
Documentation
MS Excel Spreadsheet - 3.0 MB - MD5: fbf0cda78ec16c1419d7addc8d0734cb
Data
Tabular Data - 3.3 MB - 14 Variables, 52684 Observations - UNF:6:YudbXxz1r55zz8jxPbWtww==
csvData
Adobe PDF - 129.4 KB - MD5: 78dd688391c129930fe3236bceefa8f8
DocumentationVariable Codebook/Data Dictionary
Tabular Data - 3.7 MB - 14 Variables, 52684 Observations - UNF:6:YudbXxz1r55zz8jxPbWtww==
DataMS excel
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